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Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses
Chang, Angela1,2; Xian, Xuechang1,3; Liu, Matthew Tingchi4; Zhao, Xinshu1
2022-05-01
Source PublicationInternational Journal of Environmental Research and Public Health
ISSN1661-7827
Volume19Issue:10
Abstract

The COVID-19 outbreak has caused significant stress in our lives, which potentially increases frustration, fear, and resentful emotions. Managing stress is complex, but helps to al-leviate negative psychological effects. In order to understand how the public coped with stress during the COVID-19 pandemic, we used Macao as a case study and collected 104,827 COVID-19 related posts from Facebook through data mining, from 1 January to 31 December 2020. Divominer, a big-data analysis tool supported by computational algorithm, was employed to identify themes and facilitate machine coding and analysis. A total of 60,875 positive messages were identified, with 24,790 covering positive psychological themes, such as “anti-epidemic”, “solidarity”, “hope”, “gratitude”, “optimism”, and “grit”. Messages that mentioned “anti-epidemic”, “solidarity”, and “hope” were the most prevalent, while different crisis stages, key themes and media elements had various impacts on public involvement. To the best of our knowledge, this is the first-ever study in the Chinese context that uses social media to clarify the awareness of solidarity. Positive messages are needed to empower social media users to shoulder their shared responsibility to tackle the crisis. The findings provide insights into users’ needs for improving their subjective well-being to mitigate the negative psychological impact of the pandemic.

KeywordAnti-epidemic Automated Content Analysis Covid-19 Facebook Natural Language Processing Positive Psychology Semantic Analysis Solidarity
DOI10.3390/ijerph19106159
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaEnvironmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS SubjectEnvironmental Sciences ; Public, Environmental & Occupational Health
WOS IDWOS:000801544000001
Scopus ID2-s2.0-85130147872
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMMUNICATION
Faculty of Social Sciences
Corresponding AuthorChang, Angela
Affiliation1.Department of Communication, Faculty of Social Sciences, University of Macau, Macao
2.Institute of Communication and Health, Lugano University, Lugano, 6900, Switzerland
3.Department of Communication, Zhaoqing University, Zhaoqing, 526060, China
4.Department of Management and Marketing, Faculty of Business Administration, University of Macau, Macao
First Author AffilicationFaculty of Social Sciences
Corresponding Author AffilicationFaculty of Social Sciences
Recommended Citation
GB/T 7714
Chang, Angela,Xian, Xuechang,Liu, Matthew Tingchi,et al. Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses[J]. International Journal of Environmental Research and Public Health,2022,19(10).
APA Chang, Angela,Xian, Xuechang,Liu, Matthew Tingchi,&Zhao, Xinshu.(2022).Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses.International Journal of Environmental Research and Public Health,19(10).
MLA Chang, Angela,et al."Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses".International Journal of Environmental Research and Public Health 19.10(2022).
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